Synthetic Data Generation: Why AI Needs Fake Data to Train Better Models
Synthetic data generation is revolutionizing AI training by providing high-quality, artificially created datasets that mimic real-world data without privacy concerns. This approach addresses the challenges of collecting real data, especially in sensitive fields like healthcare, enabling better model performance and reducing biases inherent in traditional data collection methods.